Description: 自适应全尺度小波数字图像水印.09年5月份
在清华学报出版的。实现大容量的水印嵌入，对于各种攻击的鲁棒性。请大家共享-Full-scale wavelet adaptive digital image watermarking .09 years in May, published in the Journal of Tsinghua University. The realization of large-capacity watermark embedding, the robustness of a variety of attacks. Please share Platform: |
Size: 1668096 |
Author:单昊 |
Hits:
Description: 提出一种基于支持向量机( SVM)和遗传算法(GA)的离散余弦变换(DCT)域盲数字图像水印方法. 该方法能自适应于图像的局部特征. 依据图像块的局部特性,利用SVM对图像块分类,自适应地确定水印嵌入强度, GA用来优化水印嵌入位置. 实验结果表明该方法有较好的不可见性和较强对抗攻击的鲁棒性.-Based on support vector machine (SVM) and genetic algorithm (GA), discrete cosine transform (DCT) domain blind digital image watermarking method. The method adaptive to local image features. Based on the local characteristics of image block using the SVM the image block classification, adaptive to determine the embedding strength, GA to optimize the watermark embedding location. The experimental results show that the method has good invisibility and robustness of the strong against the attacks. Platform: |
Size: 449536 |
Author:郭事业 |
Hits:
Description: In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature-In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature Platform: |
Size: 3074048 |
Author:atefe |
Hits:
Description: This paper proposes new watermarking technique
based on tetrolet domain. The tetrolet transform is a new
adaptive Haar-type wavelet transform based on tetrominoes. It
avoids Gibbs oscillation because it applies the Haar function at
the edge of the image. Our proposed watermarking algorithm
embeds the watermark into the tetrolet coefficients which are
selected by considering different of shapes tetrominoes. We
uated the effectiveness of the watermarking approach by
considering the quality metrics like RMSE, PSNR and
Robustness parameters. The experimental results reveal that the
proposed watermarking scheme is robust against common image
processing attacks. Platform: |
Size: 495616 |
Author:Naga Kishore |
Hits:
Description: This paper proposes new watermarking technique based on Tetrolet domain. The Tetrolet transform is a new adaptive Haar-type wavelet transform based on tetrominoes. It avoids Gibbs oscillation because it applies the Haar function at the edge of the image. Our proposed watermarking algorithm embeds the watermark into the Tetrolet coefficients which are selected by considering different shapes of tetrominoes and uated the effectiveness of the watermarking approach by considering the quality metrics like RMSE, PSNR and Robustness parameters. The experimental results reveal that the proposed watermarking scheme is robust against common image processing attacks.-This paper proposes new watermarking technique based on Tetrolet domain. The Tetrolet transform is a new adaptive Haar-type wavelet transform based on tetrominoes. It avoids Gibbs oscillation because it applies the Haar function at the edge of the image. Our proposed watermarking algorithm embeds the watermark into the Tetrolet coefficients which are selected by considering different shapes of tetrominoes and uated the effectiveness of the watermarking approach by considering the quality metrics like RMSE, PSNR and Robustness parameters. The experimental results reveal that the proposed watermarking scheme is robust against common image processing attacks. Platform: |
Size: 1816576 |
Author:shaik |
Hits:
Search - image adaptive wavelet watermark